The team proposed a distributed grade prediction model, dubbed FecMap, by exploiting the federated learning (FL) framework that preserves the private ...

In this paper, intermittently controlled fractional-order fuzzy multilayer complex networks with ... Ultimately, main results are applied in the typical model of fractional-order competitive neural ...

Malicious URLs are among the most common vectors for cyberattacks, enabling phishing, malware distribution, and data theft.

The seven decades of "artificial intelligence" have been marked by exaggerated promises, surprising developments and ...

Many hope that one day we’ll be able to use decentralized technologies as seamlessly as we enjoy their Web2 counterparts, but ...

Network models are a computer architecture ... These models, also known as perceptrons or multilayer connectionist models, process information based on the pattern and strength of the connections ...

This valuable study tests a methodology for the discovery of new honey bee-repellent odorants via machine learning. The conclusions of the study are supported by solid evidence, with predicted ...

Satellite networks are categorized into single-layer (one-shell) and multilayer (multishell ... ethos, and publishing model. All other topics are guest edited by leaders in their field, each vetted ...

Thankfully that changed at CES 2025 where the brand unveiled its new line of Icon separates. These include a P-80 network ...

CES 2025 showcased advances in power and size savings, from energy-harvesting solutions to tiny sensors for wearables.

This study introduces the COVID-19 Multi-Layer Ensemble framework (C19-MLE), designed to enhance the accuracy of COVID-19 detection. The approach begins with a 2D convolutional neural network (CNN ...